NOTES AND FIELD REPORTS Appendix II. GenBank and photo voucher accession numbers. An asterisk denotes sequences obtained from GenBank; all but R35 for LAcrm were obtained from Weisrock and Janzen (2000). Photo vouchers are not available for these GenBank specimens, and this is indicated as NA. GenBank accession numbers are given for cytochrome b, RAG-1, C-mos, and R35, respectively, and separated by semicolons for each gene. Alleles for each gene are separated by commas. LAcr1m* NA; AF168766*; DQ529173; DQ529206; AY259581.1* FLer1* NA; AF168751* GAsr* NA; AF168752* ONtr1* NA; AF168757* TXki* NA; AF168759* TXcc* NA; AF168758* TXsc* NA; AF168760*; DQ529147, DQ529148; DQ529185, DQ529186; DQ529125 NMrg* NA; AF168756*; DQ529151; DQ529187; DQ529127 MidCon63 ISUA200614; DQ529103; DQ529157, DQ529158; DQ529192; DQ529122 TC34 ISUA200620; DQ529113 TC35 ISUA200621; DQ529112 TC37 ISUA200622; DQ529111 TC38 ISUA200623; DQ529114; DQ529132, DQ529133; DQ529174; DQ529118 TC36 ISUA200625; EU040193; EU040200; EU040201, EU040202; DQ529119 TC45 ISUA200624; EU040194; DQ529134, DQ529135; DQ529175; no data R35 AM7 ISUA200717; EU040181 AMGst18 ISUA200716; EU040186 AMGst6 ISUA200714; EU040187 AMGst1 ISUA200713; EU040188 AMGst2 ISUA200712; EU040195 LT104 ISUA20073; EU040199 SM102 ISUA20075; EU040189 RM46 ISUA20077; EU040193 RM26 ISUA20079; ; EU040184 RM47 ISUA20076; EU040179 RM106 ISUA20074; EU040192 RM15 ISUA200715; EU040185 RC57 ISUA20078; EU040180 LG28 ISUA200718; EU040182 LIRim15 ISUA200710; EU040191 LGa46 ISUA20072; EU040190 LGa45 ISUA20071; EU040196 LGa25 ISUA200711; EU040197 LGaRim17 ISUA200719; EU040198 Chelonian Conservation and Biology, 2008, 7(1): 95–100 ! 2008 Chelonian Research Foundation Human Recreation and the Nesting Ecology of a Freshwater Turtle (Chrysemys picta) KENNETH D. BOWEN1,2 AND FREDRIC J. JANZEN1 1 Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa 50011 USA [fjanzen@iastate.edu]; 2 Present Address: 13725 Shaftsburg Road, Perry, Michigan 48872 USA [kennethdbowen@gmail.com] ABSTRACT. – Over a 3-year period, we studied the relationship between the intensity of human recreation 95 and the nesting ecology of the painted turtle (Chrysemys picta) at a major nesting beach. Our results suggest that the intensity of human recreation at this site had no effect on the decision of turtles to emerge from the water and nest, or on habitat selection by nesting turtles. This apparent lack of effect of human recreation is contrary to the results of many previously published studies on other taxa and underscores the variability in wildlife responses to human recreation and the need for species-specific and population-specific studies. The effects of human recreation on wildlife populations have recently received a great deal of scientific attention, in part because of a rapid increase in outdoor recreation activities over the last several decades (Flather and Cordell 1995). To date, most reported effects of recreation and human disturbance on wildlife have been negative (Boyle and Samson 1985; Carney and Sydeman 1999). However, some investigators have suggested that the effects of human disturbance on wildlife populations may be overestimated (Boyle and Samson 1985; Nisbet 2000), and the impact of human recreation on groups such as reptiles is not well studied (Boyle and Samson 1985). Although declines in populations of organisms such as amphibians (Wake 1991) have been well publicized, concordant declines in turtle populations have received comparatively little attention (Gibbons et al. 2000; Klemens 2000). Although habitat alteration is a major factor in turtle population declines (Mitchell and Klemens 2000), human recreation can also be detrimental (Garber and Burger 1995; Bury and Luckenbach 2002). The potential effects of human disturbance on the nesting ecology of freshwater turtles are significant because females may alter nest-site selection based on the risk that they themselves will be depredated (Spencer 2002; Spencer and Thompson 2003). If females perceive humans as a predation risk and alter their nesting behavior, maternal and offspring fitness can be altered through combinations of a variety of factors. For example, the site where a female chooses to deposit eggs can affect the probability of nest depredation through nest density (Valenzuela and Janzen 2001; Marchand et al. 2002; but see Burke et al. 1998) and edge effects (Temple 1987; Kolbe and Janzen 2002a). Nest-site selection may also affect offspring survival through temperature-related incubation success (Schwarzkopf and Brooks 1987; Wilson 1998) and overwintering success (Weisrock and Janzen 1999), as well as offspring sex ratio in turtles with temperature-dependent sex determination (reviewed in Bull 1983; Ewert and Nelson 1991; Janzen and Paukstis 1991; Shine 1999). The purpose of this study was to determine the effects of human recreation on the nesting behavior of the painted turtle (Chrysemys picta). In particular, we evaluated how different levels of human recreation on a major nesting 96 CHELONIAN CONSERVATION AND BIOLOGY, Volume 7, Number 1 — 2008 beach affected the decision of turtles to emerge from the water and nest, as well as components of habitat selection of nesting turtles. We hypothesized that an increased number of humans on the nesting beach would decrease the number of turtles emerging to nest and cause turtles to choose low-quality nesting sites. Methods. — This research represents a portion of a long-term study of painted turtle nesting ecology (Janzen 1994) at the Thomson Causeway Recreation Area (TCRA) near Thomson, Illinois. The Thomson Causeway is an ;450- 3 900-m island on the eastern bank of the Mississippi River, and it contains an ;1.5-ha nesting area that is bordered on the east side by a 200-m-wide slough from which most turtles emerge to nest. The site is managed and maintained by the United States Army Corp of Engineers (USACE; see Kolbe and Janzen 2002a for a more complete site description). The TCRA is a popular destination for recreationists with motor homes (recreational vehicles [RV]) during the spring and summer months. Use of the area is variable, with most activity occurring on weekends and holidays (Bowen and Janzen, pers. obs.). The nesting area is interspersed with concrete pads for parking RVs and has a paved road running through it. This setting provides an opportunity to investigate the nesting responses of painted turtles to different levels of human recreation throughout the nesting season. Chrysemys picta is a small- to medium-sized freshwater turtle that ranges from southern Canada to New Mexico and from the Atlantic to the Pacific Oceans (Ernst et al. 1994; Starkey et al. 2003). At TCRA, the mean clutch size is 10.5 6 2.0 standard deviation (SD) eggs, and individual females may lay up to 3 clutches in a nesting season from late May to early July (Morjan 2003). Chrysemys picta has temperature-dependent sex determination, with cooler temperatures producing males (Ewert and Nelson 1991). Hatchlings remain in the nest during the winter and emerge from the nest and enter water in the spring (Ernst et al. 1994; Weisrock and Janzen 1999). The nesting beach at TCRA was monitored for nesting turtles from early to late June in 2001 and from late May to early July in 2002 and 2003. The turtles were individually marked by using a series of notches in the marginal scutes of the carapace (Cagle 1939). Each year we observed females leave the water, construct nests, and lay eggs. Once a female had finished nesting, we temporarily mapped the location of the nest by using nearby landmarks (e.g., trees, posts, and RV sites), and determined the amount of overstory vegetation (% shaded) in all 4 cardinal directions over the nest by using a spherical densiometer (see Janzen 1994; Weisrock and Janzen 1999). Once the nesting season was complete, we returned to the location and established precise Cartesian coordinates for each nest by using the program INTERPNT (Boose et al. 1998). Geographic information system coverages were created by using these coordinates in ArcViewt (ESRI Inc., Redlands, CA). We used these location data to determine the distance of each nest from the water. Error in this mapping and measuring process ranges from 0 to 15 cm (see Kolbe and Janzen 2002a for more detail). We also followed the fate of each nest through the third week of September (i.e., until all hatching was completed) by noting which nests had been depredated and which remained intact. As an indicator of the level of human disturbance at TCRA during the nesting season, we used data on the number of RVs present daily at the nesting beach and nearby sites for the months of May through July in the years 2001–2003 obtained from the USACE. We used nested analysis of variance (ANOVA) to determine the effect that varying numbers of RVs had on the decision of turtles to nest. We used the number of nests constructed on a given day as an indicator of the decision of turtles to emerge from the water and nest. Effects in the nested ANOVA were the number of RVs, the Julian date, and the interaction between these two (all nested within year). The Julian date was included in an attempt to control for seasonal changes in nesting behavior that might be independent of human activity. We hypothesized that the number of turtles emerging to nest would decrease as the number of RVs increased. This relationship was considered important because mass nesting events in response to decreased human presence might increase nest density on small scales and serve as cues for nest predators. Higher nest densities are known to result in higher probabilities of nest depredation at TCRA (Valenzuela and Janzen 2001). We used nested ANOVAs to examine the effect of human recreation on habitat selection of nesting turtles by comparing the number of RVs present on a given day to the distance from water of nests laid on that day and by comparing the number of RVs present on a given day to the south and west overstory vegetation cover of nests laid on that day. Effects for each nested ANOVA were the number of RVs, Julian date, maximum air temperature on the day of nesting, water temperature on the day of nesting, and the interactions between these variables (all nested within year). Weather variables were included in an attempt to account for the effects of weather on habitat selection. Maximum air temperature and water temperature were chosen because these variables appear to affect the decision of turtles to emerge from the water and nest at TCRA (Bowen et al. 2005). We obtained weather data for the nesting seasons from the USACE Lock and Dam 13, ca. 12 km south of the study site. We hypothesized that as the level of human activity increased females would perceive a greater risk to themselves, and the distance of nests from the water would decrease (Spencer 2002). This relationship was considered important because rates of nest depredation are higher along the water edge in most years at TCRA (Kolbe and Janzen 2002a). Sites near the water are less shaded at TCRA; therefore, we hypothesized that nest overstory NOTES AND FIELD REPORTS 97 Table 1. Descriptive statistics (mean 6 1 SD) and sample sizes for human recreational activity and nest variables of the painted turtle (Chrysemys picta) at a nesting beach in northwestern Illinois. Y (nests) No. nests/d Nest distance to water (m) Nest southwest overstory vegetation (%) RV/da 2001 (147) 2002 (158) 2003 (218) 7.1 6 7.6 (23 d) 7.7 6 9.3 (23 d) 6.6 6 7.3 (35 d) 34.3 6 24.6 28.6 6 23.6 24.7 6 23.0 39.2 6 21.0 42.8 6 22.6 41.7 6 22.4 5.6 6 9.1 18.3 6 13.8 23.6 6 19.0 a recreational vehicle. vegetation cover would decrease with increasing levels of human recreation (Kolbe and Janzen 2002a). This relationship was considered important because south and west overstory vegetation cover is a predictor of nest temperature and offspring sex ratio at this site in most years (Janzen 1994; Morjan and Janzen 2003). Nesting turtles are known to choose nesting sites nonrandomly with respect to overstory vegetation at TCRA (Janzen and Morjan 2001). Although some females at TCRA lay multiple clutches within a nesting season (Morjan 2003), we used only the first nest for each female within years in our analyses. We did so to ensure that each nesting event was independent within years (i.e., females may exhibit different nesting behavior during their second attempt, based on what they experience during their first attempt). Adding data from second and third nests did not change our findings (results not shown). All statistical analyses were performed by using JMP (SAS Institute Inc). Results. — Nesting began by 7 June in each year and the nesting beach was monitored until at least 1 July. Either 23 (2001 and 2003) or 35 (2002) nesting days for each year were included in the analyses. The number of nesting days varied, in part, as a result of weather conditions that inhibited nesting on some days. Data were analyzed from 147 nests in 2001, 158 nests in 2002, and 218 nests in 2003. Nest parameters were highly variable during the nesting season in all years studied, as was the number of RVs present at TCRA (ranging from 0 to 64 RVs per day; Table 1). Overall, substantial within- and among-year variation existed in the data set for the response and predictor variables of interest in this study. The number of nests laid on a given day was not affected by any of the predictor variables (overall Table 2. Results for individual effects from a nested analysis of variance to determine the effect of the number of recreational vehicles (RV) on the number of painted turtle (Chrysemys picta) nests constructed on a nesting beach in northwestern Illinois during the years 2001–2003.a An asterisk (*) signifies an interaction between terms. Source of variation df Sum of squares F-ratio p value RVs Julian date RVs*Julian date Y 3 3 3 2 100.49657 29.93952 80.81181 20.06618 0.5084 0.1515 0.4088 0.1523 0.6778 0.9284 0.7471 0.8590 a All effects were nested within year. The p value and r 2 value for the overall test were 0.7993 and 0.09, respectively. p ¼ 0.7993, r2 ¼ 0.09; Table 2). A similar pattern was observed for overstory vegetation (overall p ¼ 0.4360, r2 ¼ 0.06; Table 3). The nested ANOVA for the distance of the nests from water was statistically significant (overall p ¼ 0.0009), but none of the individual effects approached statistical significance and the r2 value was small (r2 ¼ 0.12; Table 4). The biological significance, therefore, is likely to be negligible. Discussion. — Human recreational activity, as measured by the number of RVs on and near a major nesting beach, did not appear to affect large-scale patterns in the nesting ecology of the population of painted turtles studied here. Variables that represented both the decision to emerge from the water to nest and habitat selection had no biologically significant relationship with the number of RVs present. Based on the results of previous studies, the lack of effect found here was unexpected. For example, breeding and nest survival of colonial waterbirds may be negatively affected by human recreation (Yorio et al. 2001; reviewed in Carney and Sydeman 1999). Garber and Burger (1995) documented that 2 populations of the wood turtle (Glyptemys insculpta) declined 100% within 10 years after the opening of habitat to human recreation (foot traffic leading to opportunistic removal of turtles). Bury and Luckenbach (2002) found that a population of desert tortoises (Gopherus agassizii) that was subjected to human recreation in the form of off-road vehicles appeared to be less dense and less healthy than a population that was protected. Given that human recreation and disturbance can have adverse effects on breeding organisms in general and on turtle populations in particular, combined with the likelihood for some turtles to alter nesting behavior when disturbed or when they perceive danger (Iverson and Smith 1993; Spencer 2002; Spencer and Thompson 2003), one might assume that nesting turtles would suffer from human activity. It is important to note, however, that we studied behavioral responses and not population dynamics. Our results give tentative support to the assertion of a number of investigators (Whittaker and Knight 1998; Miller and Hobbs 2000; Nisbet 2000) that wildlife responses to human recreation are difficult to generalize. Wildlife may respond to human recreation in many ways, thus studies of these effects should be done on a speciesspecific level (Miller and Hobbs 2000). A populationspecific level may be necessary if some species are capable of habituating to disturbance by humans (i.e., they no 98 CHELONIAN CONSERVATION AND BIOLOGY, Volume 7, Number 1 — 2008 Table 3. Results for individual effects from a nested analysis of variance to determine the effect of the number of recreational vehicles (RV) on the south and west overstory vegetation of painted turtle (Chrysemys picta) nests constructed on a nesting beach in northwestern Illinois during the years 2001–2003.a Source of variation df Sum of squares F-ratio p value RVs Julian date Maximum air temperature Water temperature Y RVs*Julian date Maximum air temperature*water temperature Julian date*water temperature RVs*water temperature Julian date*maximum air temperature RVs*maximum air temperature 3 3 3 3 2 3 3 3 3 3 3 0.18924736 0.08643256 0.10417674 0.05369669 0.02290302 0.04975900 0.3947058 0.02635718 0.05441639 0.03492956 0.01753739 1.2962 0.5920 0.7135 0.3678 0.2353 0.3408 0.2703 0.1805 0.3727 0.2392 0.1201 0.2750 0.6205 0.5442 0.7763 0.7904 0.7958 0.8468 0.9096 0.7727 0.8690 0.9483 a All effects were nested within year. The p value and r 2 value for the overall test were 0.4360 and 0.06, respectively. An asterisk (*) signifies an interaction between terms. longer respond to human disturbance; Whittaker and Knight 1998). In the future, we plan to test the hypothesis that our turtles have habituated to human presence by using comparative experimental studies with nearby populations. There is an important caveat to consider in interpreting our results: the analytical methods used are capable of detecting only large-scale changes in turtle nesting behavior as a result of human recreation. We did not evaluate the responses of individual turtles per se, nor did we directly track population dynamics. We have observed turtles abandon nesting attempts as the result of direct human intrusion, adults and hatchlings killed by automobiles, and removal of turtles from the study area by recreationists. These types of situations are not accounted for in our analysis. Examining the response of an individual turtle under different conditions might be more instructive in determining the effects of human recreation. However, this experimental approach would be difficult to implement given that we cannot control when a turtle emerges to nest nor can we directly manipulate the intensity of human recreation. What do our results mean for managers? Human recreation at TCRA does not appear to have effects on large-scale patterns of painted turtle nesting behavior, and the needs of these turtles and human recreationists may be reconcilable. However, we emphasize that these results should not be taken to suggest that human recreation does not affect freshwater turtles. Generalizations to other species and other forms of recreation should be avoided. Furthermore, even if painted turtles are unaffected by large-scale human activity, the actions of individual humans (removing or disturbing nesting turtles, road kills) should still be taken into account. Education of the public (Klein 1993; Taylor and Knight 2003) concerning the plight and sensitivity of turtles is a good first step. At TCRA, education over the past 15 years by both our research team and USACE park rangers has minimized, but not eliminated, individual human disturbance of painted turtles. Monitoring and enforcement of applicable laws will still be necessary in most cases. We generally agree with other investigators (Boyle and Samson 1985; Nisbet 2000) that the large number of studies that suggest a negative relationship between human recreation and wildlife should not be applied to all species and all situations. Furthermore, studies that test explicit hypotheses and attempt to determine the fitness effects of recreation on wildlife (Boyle and Samson 1985) should be Table 4. Results for individual effects from a nested analysis of variance to determine the effect of the number of recreational vehicles (RV) on the distance from water of painted turtle (Chrysemys picta) nests constructed on a nesting beach in northwestern Illinois during the years 2001–2003.a Source of variation df Sum of squares F-ratio p value RVs Julian date Maximum air temperature Water temperature Y RVs*Julian date Maximum air temperature*water temperature Julian date*water temperature RVs*water temperature Julian date*maximum air temperature RVs*maximum air temperature 3 3 3 3 2 3 3 3 3 3 3 1910.2945 1285.4191 462.8087 1089.7052 216.1942 2443.1515 778.8275 777.8249 756.6510 405.0941 545.6739 1.1771 0.7921 0.2852 0.6715 0.1998 1.5055 0.4799 0.4793 0.4662 0.2496 0.3362 0.3179 0.4987 0.8361 0.5699 0.8189 0.2123 0.6964 0.6968 0.7060 0.8616 0.7991 a All effects were nested within year. The p value and r 2 value for the overall test were 0.0009 and 0.12, respectively. An asterisk (*) signifies an interaction between terms. NOTES AND FIELD REPORTS designed where feasible. Finally, although research on ‘‘secure’’ populations of freshwater turtles is important (Congdon et al. 2003), ecological and evolutionary studies on human-influenced populations (Kolbe and Janzen 2002b; Feinberg and Burke 2003) are equally crucial given the current rate of habitat alteration and the conservation status of most turtle species. Future studies should focus on the area around individual nesting turtles that must be kept inviolate, if they are to remain undisturbed (area of influence; Miller et al. 2001), and on the effects of recreation-related deaths and adult removals on population dynamics (Garber and Burger 1995). Acknowledgments. — We thank the U.S. Army Corps of Engineers for continued access to the field site and the Janzen Lab turtle camp crews from 2001–2003 for helping with data collection. E. Bowen, R. Brooks, J. Carr, W. Clark, M. Haussmann, and R. 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LESLIE, JR3 1 Oklahoma Cooperative Fish and Wildlife Research Unit, Department of Zoology, Oklahoma State University, Stillwater, Oklahoma 74078 USA [les_tortues@hotmail.com]; 2 Department of Zoology, Oklahoma State University, Stillwater, Oklahoma 74078 USA [foxstan@okstate.edu]; 3 United States Geological Survey, Oklahoma Cooperative Fish and Wildlife Research Unit, Oklahoma State University, Stillwater, Oklahoma 74078 USA [cleslie@usgs.gov]; Present Address: Department of Life, Earth and Environmental Sciences, West Texas A&M University, Canyon, Texas 79016 USA [macrochelys@hotmail.com]; 5 Present Address: Department of Biological Sciences, Rochester Institute of Technology, 85 Lomb Memorial Drive, Rochester, New York 14623 USA [passbi@rit.edu] 4 ABSTRACT. – A mark-recapture project on Macrochelys temminckii was conducted between 1997 and 2000 at Sequoyah National Wildlife Refuge, Muskogee and Sequoyah counties, in eastern Oklahoma. Turtles were captured in all streams and exhibited equal sex ratios, marked sexual-size dimorphism, and population densities between 28 and 34 animals per km stretch of stream. There was evidence of past population perturbations, with very few large adults captured, and a cohort of subadults highly underrepresented. Turtles have long been recognized as an integral part of aquatic communities, and all relevant literature on river turtle diversity, ecological roles, and community structure was recently reviewed in Moll and Moll (2004). Within this synopsis though, it is clear that outside of common species, such as the slider turtle, Trachemys scripta (Cagle 1950; Gibbons 1990), in-depth life history studies of individual species are noticeably absent. Detailed life-history strategies have been constructed only for a handful of species, most notably the Blanding’s turtle, Emydoidea blandingii (Congdon et al. 1993), and the common snapping turtle, Chelydra serpentina (Congdon et al. 1994). The data collected on C. serpentina were representative only of populations at the northern reaches of the species’ distribution and so did not demonstrate geographic variation in life-history strategies for that species. With many species of turtles facing various threats, a better understanding of these life-history strategies is much needed for developing sound management strategies. The alligator snapping turtle, Macrochelys temminckii, is a large, riverine, bottom-dwelling species that occupies a predator-scavenger role in the southeastern United States (Moll and Moll 2000). Shipman and Riedle (1994) and Shipman and Neeley (1998) surveyed 2 populations in southeastern Missouri. In each, turtles were 2–24 kg in body mass; the sex ratio for the 2 populations was 1 male to 1.09 females. Trauth et al. (1998) surveyed 2 sites in Arkansas with a population sex ratio of 1:1 and reported that males were significantly larger than females. Males were also significantly larger than females from examination of specimens at a commercial meat-processing facility in Louisiana (Tucker and Sloan 1997). Based on growth curves, M. temminckii reached sexual maturity when the straight carapace length (CL) was 370 mm in males and 330 mm in females (Dobie 1971; Tucker and Sloan 1997). Because of the apparent decline of the species throughout its range (Pritchard 1989; Ernst et al. 1994),